Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures

Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures

The vegetation in the forest-tundra ecotone zone is expected to be highly affected by climate change and requires effective monitoring techniques. Airborne laser scanning (ALS) has been proposed as a tool for the detection of small pioneer trees for such vast areas using laser height and intensity d...

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Bibliographic Details
Main Authors: Nadja Stumberg, Marius Hauglin, Ole Martin Bollandsås, Terje Gobakken, Erik Næsset
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Remote Sensing
Subjects:
airborne laser scanning
classification
forest-tundra ecotone
Online Access:http://www.mdpi.com/2072-4292/6/5/4582

Internet

http://www.mdpi.com/2072-4292/6/5/4582

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